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Renzeng Duojie

2 accepted papers

2026

TMD-TTS: A UNIFIED TIBETAN MULTI-DIALECT TEXT-TO-SPEECH FRAMEWORK FOR U-TSANG, AMDO AND KHAM SPEECH DATASET GENERATION

ICASSP 2026poster

Tibetan is a low-resource language with limited parallel speech corpora spanning its three major dialects (Ü-Tsang, Amdo, and Kham), limiting progress in speech modeling. To address this issue, we propose TMD-TTS, a unified Tibetan multi-dialect text-to-speech (TTS) framework that synthesizes parall…

Cited by 0SourcePDFScholar
2025

TLUE: A Tibetan Language Understanding Evaluation Benchmark

EMNLP 2025

Large language models have made tremendous progress in recent years, but low-resource languages, like Tibetan, remain significantly underrepresented in their evaluation. Despite Tibetan being spoken by over seven million people, it has largely been neglected in the development and assessment of LLMs